Sentence examples for biased the probability of from inspiring English sources
For the results to be seriously biased, the probability of participation would need to have been associated with family history, laterality or proband sex.
For each model inferior olive neuron, we enforced the probability of a CS to be zero when the instruction was in the on-direction for simple-spike firing, and we biased the probability of a CS on the basis of the average simple-spike firing rate of a subset of the model Purkinje cells when the instruction was in the off-direction for simple-spike firing.
The impact of feedback clearly biases the probabilities of decoding.
For the two models, the estimates by OLS are biased and the probability of test specification of Hausman is greater than the threshold of 10%.
For the two models, the estimates by the ordinary least squares (OLS) are biased and the probability of the test specification of Hausman is greater than the threshold of 10%.
However, it is not possible to ascertain whether licensure rates differed between panel members who participated in our survey and those who were invited to participate but declined; results could be biased if the probability of responding to this survey (or to surveys in general) is related to licensure status.
Generally these interactions bias the probability of some action (e.g., change in state, new behaviour), which then occurs on a stochastic basis (Losick and Desplan, 2008).
Assuming that there is no PCR bias, the probability of sampling sequence copies will be analogous to the probability of drawing balls from a big bowl containing balls with an unknown number of different colours (x).
This implies that the implementation variables may be downward biased estimations of the probability of studying under LOGSE.
In conclusion, we have constructed KvAP-DNA chimeras where the charge on the DNA, which can be manipulated externally by hybridization, pulls electrostatically on the voltage sensing domain, biasing the opening probability of the channel.
Thus, we choose to apply the Sticky HDP-HMM (Fox et al., 2008, 2009), which introduces an extra parameter κ that biases the prior probability of transitions between states towards remaining in the current state rather than transitioning to a differing one.
